Journal
FORESTS
Volume 13, Issue 9, Pages -Publisher
MDPI
DOI: 10.3390/f13091397
Keywords
WPC; RSM; ANOVA; cutting power; cemented carbide
Categories
Funding
- National Natural Science Foundation of China [31971594]
- Natural Science Foundation of the Jiangsu Higher Education Institutions of China [21KJB220009]
- Technology Innovation Alliance of Wood/Bamboo Industry [TIAWBI2021-08]
- Self-Made Experimental and Teaching Instruments of Nanjing Forestry University [nlzzyq202101]
- Nanjing Forestry University Undergraduate Innovation Project [202110298158h]
- Qin Lan Project
- International Cooperation Joint Laboratory for Production, Education, Research and Application of Ecological Health Care on Home Furnishing
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In this study, RSM was used to investigate the cutting power and optimal cutting conditions of wood-plastic composite. A cutting power model was developed based on experimental results, and the effects of various factors were analyzed. The optimal cutting condition obtained can be applied in industrial manufacturing to achieve efficient machining and energy savings.
For the sake of improving the benefit of enterprise by reducing energy waste. RSM (response surface methodology) was used to investigated the cutting power of wood-plastic composite at different cutting conditions (rake angle, cutting speed, depth of cut, and flank wear). Based on the experimental results, a cutting power model with a high degree of fitting was developed, which can be used to predict cutting power and optimal cutting conditions. Meanwhile, the effects of rake angle, cutting speed, depth of cut, and flank wear and their interaction on the cutting power were probed by analysis of variance, and the significant terms were determined. Finally, the optimal cutting condition was obtained as follows: rake angle of 10 degrees, cutting speed of 300 m/min, depth of cut of 1.5 mm, and flank wear of 0.1 mm. This parameter combination is suggested to be used for industrial manufacturing of wood-plastic composite in terms of the incredible machining efficiency and the lowest energy consumption.
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